1. Introduction
Let be a topological dynamical system, where is a compact metric space and is continuous. We denote by the collection of all Borel probability measures on X. A central theme in multifractal analysis is to describe the local geometric and dynamical behavior of measures by decomposing the phase space into subsets determined by the asymptotic values of suitable local invariants.
One of the most basic quantities in this setting is the pointwise dimension of a measure
at a point
, provided the limit exists, defined as
where
. For a given
, the associated level set
captures the points at which the measure exhibits the same local scaling behavior. A fundamental problem is to evaluate the size and complexity of such sets using geometric or dynamical invariants, including Hausdorff dimension, topological entropy, and topological pressure.
A systematic approach to this problem was developed by Olsen [
1,
2], who introduced generalized Hausdorff dimensions
for
and established a multifractal formalism relating
to the Legendre transform of these dimensions. This framework provides a bridge between local measure-theoretic quantities and global geometric characteristics.
In dynamical systems, the evolution under iteration of the map
f plays a crucial role, and metric balls are naturally replaced by
Bowen balls. Given
,
, and
, the Bowen ball of order
n is defined by
Using this notion, Brin and Katok [
3] introduced the lower and upper local entropies of a measure
at a point
x, defined respectively by
When these two quantities coincide, their common value is denoted by
and referred to as the local entropy at
x. For
, one may then consider the level set
Building on ideas from multifractal geometry and dimension theory, Takens and Verbitski [
4] developed a general multifractal framework for local entropies by introducing a suitable entropy function associated with a measure. Within this approach, they derived a relation between the Bowen topological entropy [
5] of the level sets
and the corresponding multifractal spectrum. Related multifractal phenomena for dynamical quantities have since been investigated from different perspectives; see, for instance, the work of Yan and Chen [
6] on recurrence times.
Polynomial entropy provides an alternative measure of dynamical complexity by capturing subexponential growth rates. This concept was introduced by Marco [
7] and further developed in various contexts [
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21]. For partially hyperbolic systems, the dynamics exhibits distinct behaviors along stable, center, and unstable directions. To capture this anisotropic structure, Hu, Hua and Wu [
22] introduced unstable metric entropy and unstable topological entropy and established a corresponding variational principle. Subsequently, Tian and Wu [
23,
24] developed Bowen unstable topological entropy and unstable topological pressure for general subsets using a Carathéodory–Pesin construction. Further extensions include unstable measure-theoretic pressure for sub-additive potentials [
25] and nonlinear unstable pressure on subsets [
26].
Motivated by these developments, the present paper investigates multifractal properties associated with polynomial entropy in the unstable direction. We introduce the notions of Bowen unstable polynomial entropy, unstable local polynomial entropy, and unstable polynomial entropy associated with a measure. Our main results establish a multifractal description of the level sets determined by unstable local polynomial entropies and provide a precise relation between their Bowen unstable polynomial entropy and the corresponding multifractal spectrum. These results extend classical multifractal theory to a polynomial growth framework in partially hyperbolic dynamics.
To illustrate the potential applicability of these concepts, we note that evaluating polynomial entropy metrics can inform real-world systems, including the following:
Control input bounds for stabilization of parabolic PDE–ODE systems [
27];
Modeling of vortex-induced vibrations in bridge decks [
28];
Stochastic control in mean-field jump-diffusion systems [
29];
Predictive modeling of complex aerodynamic trajectories via time–frequency analysis [
30].
These examples highlight that the proposed multifractal and polynomial entropy framework is not only of theoretical interest but also has potential applications in modern applied mathematics, engineering, and physics.
2. Preliminaries
Throughout this paper,
and
denote the sets of all integers and positive integers, respectively, and we write
. Let
denote the family of all finite open covers of
X. For two covers
, we say that
refines
, written
, if each element of
is contained in some element of
. The join of
and
is defined by
which is a common refinement of both
and
.
Given
and a cover
, we define the iterated join
For
and
, the dynamical metric
on
X is given by
and the associated Bowen ball is
If
is a finite open cover of
X, we write
.
For
, let
denote the collection of all finite strings
with symbols taken from
. The length of
is denoted by
, and we set
. To each string
, we associate the set
Let
be nonempty and let
. For
, define
where the infimum is taken over all collections
satisfying
. Since
is nondecreasing in
N, we define
and set
Definition 1. The Bowen topological entropy of a set is defined by 2.1. Unstable Topological Entropy of Subsets
In the remainder of this paper, we focus on partially hyperbolic dynamics. Let
M be a compact, connected, boundaryless Riemannian manifold and
a
diffeomorphism. The map
f is said to be
partially hyperbolic if the tangent bundle admits a
-invariant splitting
such that vectors in these subbundles exhibit uniform contraction, intermediate behavior, and uniform expansion, respectively. More precisely, with respect to a suitable Riemannian metric, vectors
(
) satisfy
together with uniform contraction on
and uniform expansion on
. The bundles
and
are integrable, giving rise to the stable and unstable foliations
and
. We refer to [
31] for further background.
Let denote the space of Borel probability measures on M, and the subset of f-invariant measures. The Riemannian structure induces a metric on unstable manifolds. For , denote by the open -ball in centered at x with radius . For sufficiently small , the metrics and d are equivalent on .
Tian and Wu [
23] introduced unstable analogues of Bowen topological entropy for arbitrary subsets.
Definition 2 ([
23])
. The Bowen unstable topological entropy of is defined by An equivalent formulation can be given using coverings by unstable Bowen balls. For
, define
and let
For
,
,
and
, set
where the infimum is taken over all families
with
,
, and whose union covers
Z. Taking limits as
and
yields a critical value
.
Proposition 1 ([
23])
. For any , one has . Consequently, The unstable entropy can also be characterized using separated and spanning sets. For
and
, a subset
is called
u-separated if
for all distinct
. Similarly, a set
is called
u-spanning if
Let
and
denote the maximal and minimal cardinalities of such sets, respectively. These quantities satisfy
Theorem 1 ([
23])
. For any and all sufficiently small , 2.2. Bowen Unstable Polynomial Entropy
In this subsection, we introduce a polynomial version of unstable entropy for subsets of partially hyperbolic systems.
Let
be a nonempty subset and let
. For a finite open cover
of
M and
, define
where the infimum is taken over all collections
such that
. It is straightforward to verify that
defines a finite outer measure on
X. Moreover, for fixed
and
, the quantity
is monotone nondecreasing in
N. Consequently, the limit
exists.
We associate with this construction the critical value
Definition 3. The Bowen polynomial entropy of Z is defined bywhere the supremum is taken over all finite open covers of M. Using an argument analogous to the one developed in [
32], one can show that
stabilizes as the mesh of the cover tends to zero. This leads to the equivalent formulation below.
Definition 4. Let be a partially hyperbolic diffeomorphism. Then Motivated by the definition of unstable topological entropy in [
23], we now introduce its polynomial counterpart.
Definition 5. The Bowen unstable polynomial entropy of is defined by An equivalent description can be given in terms of coverings by unstable Bowen balls. Let
,
,
and
. Define
where the infimum is taken over all finite or countable families
satisfying
,
, and
. As before, monotonicity in
N allows us to define
The associated critical exponent is denoted by
Proposition 2. For any ,Consequently, for every , Proof. Since
M is compact and the unstable foliation depends continuously on the base point, there exists
such that, for all sufficiently small
and all
,
Let
be a finite open cover of
M and let
denote its Lebesgue number. If
for some
, then
From this inclusion one easily derives, for any
,
Passing to the limits
and
yields
which proves the claim. □
The next lemma shows that the limit in Definition 5 is in fact unnecessary.
Lemma 1. Let be a partially hyperbolic diffeomorphism and . Then, for all sufficiently small , The quantity
shares many structural properties with Bowen entropy and with Hausdorff-type dimensions. Using standard arguments as in [
32], one obtains the following basic properties.
Proposition 3. Let be a partially hyperbolic diffeomorphism. Then
- (1)
;
- (2)
if , then ;
- (3)
for any sequence of subsets of M,
2.3. Lower Local Polynomial Entropy
Let
. Inspired by the work of Brin and Katok [
3], we define the lower local polynomial entropy by
and the upper local polynomial entropy by
We say that the local polynomial entropy exists at
x if
In this case, the common value is denoted by
.
Moreover, for
, we define the level set of local polynomial entropy by
In this paper, we focus on local polynomial entropies and the associated multifractal spectra defined via Bowen balls. More precisely, we study the size of the level sets
.
2.4. -Entropy
Following Takens and Verbitski [
4], which is based on ideas of Olsen [
1] and the formalism developed in [
32], we recall the definition of
-entropy.
Let
be a non-atomic Borel probability measure on
M. Without loss of generality, we assume that
assigns positive measure to every nonempty open set. For any at the most countable collection
and any
, define the
-free energy of
by
For a nonempty set
,
,
, and
, define
where the infimum is taken over all finite or countable collections
with
and
such that
. We also set
for all
, and
N.
Since
is nondecreasing in
N, the following limit exists:
As
is not necessarily monotone with respect to
Z, we define
There exists a critical value
such that
Definition 6 ([
4])
. The -entropy of Z is defined by 3. Unstable -Polynomial Entropy of Noncompact Sets
In this section, we extend the notion of
-entropy introduced in [
4] to the polynomial growth setting, define the unstable
-polynomial entropy, and investigate its basic properties.
3.1. Definition of Unstable -Polynomial Entropy
We first introduce the unstable
-polynomial free energy. Let
be a non-atomic Borel probability measure on
M. Without loss of generality, we assume that
assigns a positive measure to every nonempty open set. For any finite or countable collection
and any
, define the unstable
-polynomial free energy of
by
Given a nonempty set
,
,
, and
, define
where the infimum is taken over all finite or countable collections
with
and
such that
. We further set
for all
and
N.
Since
is nondecreasing in
N, the following limit exists:
As we restrict to covers whose centers belong to the set
Z, the quantity
is not necessarily monotone with respect to
Z. To restore monotonicity, we define
We now list some basic properties of the set function .
Proposition 4. For any , the following properties hold:
- (1)
;
- (2)
if , then ;
- (3)
for any sequence ,
The following facts, which will be used later, are straightforward to verify, and we omit their proofs.
Fact 1. The set function defines an outer measure on M.
Fact 2. If and , then .
If and , then .
As a consequence, there exists a critical value
such that
Definition 7. The unstable -polynomial entropy of Z is defined bywhere 3.2. Properties of the Unstable -Polynomial Entropy
The unstable
-polynomial entropy
and
share many structural properties with the classical
-entropy introduced by Takens and Verbitski [
4]. Since the arguments are analogous, we state these properties below and omit the detailed proofs.
Proposition 5. Let be a partially hyperbolic diffeomorphism. Then for any and the following hold:
- (1)
;
- (2)
- (3)
for any sequence ,
Combining Definition 7 with Proposition 5, we immediately obtain the following properties of .
Proposition 6. Let be a partially hyperbolic diffeomorphism. Then for any the following statements hold:
- (1)
;
- (2)
- (3)
for any sequence ,
The following lemma shows that the limit in Definition 7 is not essential, which is analogous to Lemma 1.
Lemma 2. Let be a partially hyperbolic diffeomorphism and let . Then for any , Proof. The inequality
follows directly from Definition 7. We now prove the reverse inequality.
Fix
and let
. Choose
such that
Next, choose
such that
Since
is compact, there exist finitely many points
(depending only on
,
, and the Riemannian metric) such that
Consequently,
Letting
completes the proof. □